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opus-2020-09-10.zip

  • dataset: opus
  • model: transformer-align
  • source language(s): eng
  • target language(s): vie vie_Hani
  • model: transformer-align
  • pre-processing: normalization + SentencePiece (spm32k,spm32k)
  • a sentence initial language token is required in the form of >>id<< (id = valid target language ID)
  • download: opus-2020-09-10.zip
  • test set translations: opus-2020-09-10.test.txt
  • test set scores: opus-2020-09-10.eval.txt

Benchmarks

testset BLEU chr-F
Tatoeba-test.eng.vie 37.2 0.542

opus+bt-2021-04-10.zip

  • dataset: opus+bt
  • model: transformer-align
  • source language(s): eng
  • target language(s): vie
  • model: transformer-align
  • pre-processing: normalization + SentencePiece (spm32k,spm32k)
  • a sentence initial language token is required in the form of >>id<< (id = valid target language ID)
  • valid language labels: >>vie<<
  • download: opus+bt-2021-04-10.zip
  • test set translations: opus+bt-2021-04-10.test.txt
  • test set scores: opus+bt-2021-04-10.eval.txt

Benchmarks

testset BLEU chr-F #sent #words BP
Tatoeba-test.eng-vie 37.1 0.542 2500 24427 0.974